Integrative multi-omics profiling reveals coordinated immunometabolic reprogramming and host-microbiome interactions in acute pancreatitis
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By
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Peng Dai
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Jing Feng
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Jianghong Cao
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Daguang Fan
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June 19, 2026
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Clinical Scorecard: Comprehensive Multi-Omics Analysis Uncovers Interconnected Immunometabolic Changes and Host-Microbiome Dynamics in Acute Pancreatitis
At a Glance
| Category | Detail |
|---|
| Condition | Acute Pancreatitis |
| Key Mechanisms | Immune dysregulation, systemic metabolic reprogramming, gut microbiota disturbances |
| Target Population | Patients with Acute Pancreatitis |
| Care Setting | Clinical research and multi-omics analysis |
Key Highlights
- Identification of 4,776 differentially expressed genes (DEGs) related to inflammation
- 296 metabolites showed significant alterations in amino acid and lipid metabolism
- Significant microbial compositional changes with enrichment of pro-inflammatory taxa
- Exploratory random forest model identified candidate biomarkers with AUC = 0.951
- Multi-omics integration revealed 215 significant correlations among host genes, metabolites, and microbes
Guideline-Based Recommendations
Diagnosis
- Utilization of conventional biomarkers (e.g., CRP, interleukin-6) for early stratification of disease severity
Management
- Risk-adapted management based on clinical scoring systems (e.g., Ranson, BISAP)
Monitoring & Follow-up
- Continuous assessment of immune and metabolic profiles in patients
Risks
- High mortality rate in severe cases (10% to 30%)
Patient & Prescribing Data
Patients diagnosed with Acute Pancreatitis
Emerging biomarkers and multi-omics insights may guide future therapeutic strategies
Clinical Best Practices
- Integration of multi-omics data for comprehensive understanding of AP pathogenesis
- Validation of candidate biomarkers in larger, independent cohorts
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